Lungley, Deirdre; Kruschwitz, Udo and Song, Dawei
(2012).
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| URL: | http://ecir2012.upf.edu/index.html |
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| DOI (Digital Object Identifier) Link: | http://doi.org/10.1007/978-3-642-28997-2_56 |
| Google Scholar: | Look up in Google Scholar |
Abstract
Today, searchers exploring the World Wide Web have come to expect enhanced search interfaces – query completion and related searches have become standard. Here we propose a Formal Concept Anal- ysis lattice as an underlying domain model to provide a source of query refinements. The initial lattice is constructed using NLP. User clicks on documents, seen as implicit user feedback, are harnessed to adapt it. In this paper, we explore the viability of this adaptation process and the results we present demonstrate its promise and limitations for proposing initial effective refinements when searching the diverse WWW domain.
| Item Type: | Conference Item |
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| Copyright Holders: | 2012 Springer-Verlag Berlin Heidelberg |
| Extra Information: | Published in:
R. Baeza-Yates et al. (Eds.): ECIR 2012, LNCS 7224, pp. 522-526, 2012 |
| Keywords: | usage mining; domain modelling; formal concept analysis; query refinement |
| Academic Unit/Department: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications Faculty of Science, Technology, Engineering and Mathematics (STEM) |
| Item ID: | 34681 |
| Depositing User: | Dawei Song |
| Date Deposited: | 24 Oct 2012 12:40 |
| Last Modified: | 10 Aug 2016 03:15 |
| URI: | http://oro.open.ac.uk/id/eprint/34681 |
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